Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality.

Scott R Braithwaite Christophe Giraud-Carrier Joshua H West Michael D Barnes Carl Lee Hanson

Published in: JMIR mental health (2016)

Machine learning algorithms are efficient in differentiating people who are at a suicidal risk from those who are not. Evidence for suicidality can be measured in nonclinical populations using social media data.

Keyphrases

machine learning
social media
big data
artificial intelligence
health information
electronic health record
deep learning
depressive symptoms
magnetic resonance imaging
contrast enhanced
computed tomography